Lead and scale People Operations to deliver an AI-enabled, self-service-first employee experience. Build processes, governance, KPIs, and technology integrations (HRIS, UKG, Ashby, Jira). Own service delivery, automation, data governance, compliance, analytics, and vendor management while partnering with HR, Payroll, IT, Legal, and Finance.
Shield AI is seeking a Director of People Operations to lead and evolve our People Operations function as we continue to scale. In this role, you'll shape how we deliver an exceptional employee experience by building efficient, technology-enabled, and AI-powered processes that support every stage of the employee lifecycle. You'll balance strategic transformation with hands-on operational leadership, partnering closely with HR, Payroll, Finance, IT, Legal, and business leaders to create a high-performing, scalable People organization that enables our employees—and our business—to thrive.
What you'll do:
- Define and execute a unified People Operations vision, operating model, and multi-year roadmap spanning candidate interviewing, hiring, employee onboarding and employee lifecycle operations.
- Lead day-to-day operations, ensuring consistent, high-quality service delivery across the employee lifecycle.
- Lead and scale a rapidly growing People Operations function through direct leadership, with full accountability for team performance, service quality, and outcomes across the candidate and employee lifecycle.
- Establish team structure, capacity planning, KPIs, and operating rhythms to support hiring velocity, onboarding effectiveness, and ongoing operational excellence.
- Serve as a strategic advisor to executives on workforce operations, hiring experience, service delivery, and AI enablement.
- Transform People Operations into a self-service-first, AI-enabled support model.
- Design and implement service delivery architecture, including automation, case management, and digital support channels to support rapid company scaling and global expansion.
- Lead enterprise knowledge management to enable self-service and improve consistency and AI effectiveness.
- Own and drive service performance, including SLAs, response times, quality, and employee satisfaction.
- Establish governance for AI-enabled execution and support, ensuring accuracy, compliance, and appropriate escalation.
- Continuously improve services through analytics, feedback, and process optimization.
- Select and manage external vendors and platforms specific People Operations.
- Own end-to-end workforce lifecycle processes, from interview coordination and candidate logistics through onboarding, employee changes, and offboarding.
- Ensure seamless handoffs between recruiting and employee operations to deliver a cohesive, high-quality experience.
- Lead process redesign initiatives to improve hiring efficiency, onboarding speed, service quality, and risk reduction.
- Establish policies, documentation, controls, and service standards.
- Drive automation strategies to reduce manual effort and improve quality.
- Ensure operational continuity and audit readiness.
- Lead change management and adoption for new processes, tools and capabilities.
- Ensure accuracy, security, and integrity of employee data and workforce transactions.
- Establish governance, audit, and validation practices to reduce risk.
- Partner with HRIS, Payroll, Legal, and Finance to maintain compliance and alignment with internal controls.
- Drive enterprise accountability for data quality across People systems.
- Partner with HRIS, IT, Talent Acquisition, and Digital teams to define and execute the People Operations technology roadmap.
- Support adoption and optimization of platforms such as UKG, Jira Service Management, Ashby, and automation tools.
- Translate business needs across the People Operations function into scalable systems and workflows.
- Establish related service metrics, dashboards, and reporting frameworks.
- Monitor SLAs, KPIs, and operational health indicators.
- Use data to identify trends, inefficiencies, and opportunities for automation.
- Drive continuous improvement and data-informed decision-making.
- Measure service effectiveness, employee experience, and AI performance.
- Evaluate emerging technologies, industry trends, and evolving best practices to continuously modernize and scale People Operations.
Strategic Leadership & Team Management
Service Delivery & AI Enablement
Operational Excellence & Process Design
Data Governance & Compliance
Technology & Enablement
Analytics & Continuous Improvement
Required qualifications:
- Bachelor’s degree in Human Resources, Business Administration, or related field.
- 15+ years of progressive HR or People Operations experience in complex or high-growth environments.
- 7+ years leading People Operations or HR Shared Services teams.
- Experience designing and scaling shared services and service delivery models.
- Proven track record of operational transformation, including automation and AI-enabled solutions.
- Strong expertise in employee lifecycle operations, compliance, and data governance.
- Experience partnering with HRIS and enterprise technology teams.
- Demonstrated success with KPIs, SLAs, and operational reporting.
- Strong leadership, communication, and stakeholder management skills.
Preferred qualifications:
- Master’s degree or MBA in a related field.
- Experience in technology, aerospace, defense, or high-growth industries.
- Experience building AI-enabled service models and knowledge management systems.
- Experience with UKG, Ashby and Jira
- Background in service management, digital transformation, or operational excellence.
- Knowledge of Lean, Six Sigma, Agile, or ITIL methodologies.
- Experience supporting multi-state or global workforce operations.
- Relevant certifications (e.g., SHRM-SCP, SPHR, PMP, Lean Six Sigma, ITIL).
#LI-AD7
Similar Jobs at Shield AI
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Coordinate and prioritize depot maintenance for VBAT aircraft by ensuring parts, tools, ground support equipment, and information are available. Track aircraft status, order and expedite parts, remove execution roadblocks, maintain production trackers and reporting, and support cross-functional planning to return aircraft to service safely and efficiently.
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Support design, assembly, and execution of mechanical and structural tests for aerospace systems. Install and calibrate sensors, integrate hydraulic systems, run automated data collection with Python, analyze results, produce technical reports, design simple fixtures in CAD, assist FEA comparisons, and collaborate with cross-functional teams on hardware development.
Top Skills:
AccelerometersCadComposite MaterialsCreoData Acquisition SystemsDisplacement SensorsFeaHydraulic SystemsLoad CellsPneumatic SystemsPressure TransducersPythonSiemens NxSolidworksStrain Gauges
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead deployment of an AI-native digital factory: define digital architecture, deploy MES and integrations, enable AI-driven manufacturing (predictive maintenance, automated root-cause analysis, intelligent work instructions), digitize manufacturing knowledge, and drive automation and factory transformation across production, quality, maintenance, and supply chain.
Top Skills:
Advanced AnalyticsAIAutomation PlatformsDigital TwinErpFactory AutomationIndustrial ControlsMachine LearningMachine VisionManufacturing Execution SystemMesPlcsPlmPredictive MaintenanceQmsSensors
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

